David John Gagne II

19 papers A* 2Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation. CoRR Da Fan, David John Gagne II, Steven J. Greybush, Eugene E. Clothiaux, John S. Schreck, Chaopeng Shen
2025	J	`jnl`	Controllable Probabilistic Forecasting with Stochastic Decomposition Layers. CoRR John S. Schreck, William E. Chapman, Charlie Becker, David John Gagne II, Dhamma Kimpara, Nihanth Cherukuru, Judith Berner, Kirsten J. Mayer, Negin Sobhani
2025	J	`jnl`	Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts. CoRR Zhanxiang Hua, Ryan A. Sobash, David John Gagne II, Yingkai Sha, Alexandra Anderson-Frey
2025	J	`jnl`	Investigating the contribution of terrain-following coordinates and conservation schemes in AI-driven precipitation forecasts. CoRR Yingkai Sha, John S. Schreck, William E. Chapman, David John Gagne II
2024	J	`jnl`	Community Research Earth Digital Intelligence Twin (CREDIT). CoRR John S. Schreck, Yingkai Sha, William E. Chapman, Dhamma Kimpara, Judith Berner, Seth McGinnis, Arnold Kazadi, Negin Sobhani, Ben Kirk, David John Gagne II
2024	J	`jnl`	Improving ensemble extreme precipitation forecasts using generative artificial intelligence. CoRR Yingkai Sha, Ryan A. Sobash, David John Gagne II
2023	J	`jnl`	Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications. CoRR John S. Schreck, David John Gagne II, Charlie Becker, William E. Chapman, Kim Elmore, Gabrielle Gantos, Eliot Kim, Dhamma Kimpara, Thomas Martin, Maria J. Molina, Vanessa M. Pryzbylo, Jacob Radford, Belen Saavedra, Justin Willson, Christopher D. Wirz
2023	J	`jnl`	Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model. CoRR Yingkai Sha, Ryan A. Sobash, David John Gagne II
2023	J	`jnl`	Physically Explainable Deep Learning for Convective Initiation Nowcasting Using GOES-16 Satellite Observations. CoRR Da Fan, Steven J. Greybush, David John Gagne II, Eugene E. Clothiaux
2021	J	`jnl`	The Need for Ethical, Responsible, and Trustworthy Artificial Intelligence for Environmental Sciences. CoRR Amy McGovern, Imme Ebert-Uphoff, David John Gagne II, Ann Bostrom
2020	J	`jnl`	Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models. CoRR Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David John Gagne II
2019	J	`jnl`	Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model. CoRR David John Gagne II, Hannah M. Christensen, Aneesh C. Subramanian, Adam H. Monahan
2015	A*	`conf`	Day-Ahead Hail Prediction Integrating Machine Learning with Storm-Scale Numerical Weather Models. AAAI David John Gagne II, Amy McGovern, Jerald Brotzge, Michael Coniglio, James Correia Jr., Ming Xue
2014	J	`jnl`	Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning. Mach. Learn. Amy McGovern, David John Gagne II, John K. Williams, Rodger A. Brown, Jeffrey B. Basara
2013	—	`conf`	Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework. ICDM Workshops David John Gagne II, Amy McGovern, Jerald Brotzge, Ming Xue
2012	—	`conf`	Machine learning enhancement of Storm Scale Ensemble precipitation forecasts. CIDU David John Gagne II, Amy McGovern, Ming Xue
2011	J	`jnl`	Using spatiotemporal relational random forests to improve our understanding of severe weather processes. Stat. Anal. Data Min. Amy McGovern, David John Gagne II, Nathaniel Troutman, Rodger A. Brown, Jeffrey B. Basara, John K. Williams
2010	—	`conf`	Severe Weather Processes through Spatiotemporal Relational Random Forests. CIDU Amy McGovern, Timothy A. Supinie, David John Gagne II, Nathaniel Troutman, Matthew W. Collier, Rodger A. Brown, Jeffrey B. Basara, John K. Williams
2008	A*	`conf`	Spatiotemporal Relational Probability Trees: An Introduction. ICDM Amy McGovern, Nathan C. Hiers, Matthew W. Collier, David John Gagne II, Rodger A. Brown